Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Shoot-to-root translocation of GmNN1/FT2a regulates soybean nodulation. by Xinxin Li (281237)

Functions of <i>GmNN1/FT2a</i> in nitrogen nutrition and nodulation. by Xinxin Li (281237)

Plant growth, nodulation, and N content as affected by manipulating of GmNN1/FT2a. by Xinxin Li (281237)

Expression of <i>GmNN1/FT2a</i> in various tissues of soybean plants. by Xinxin Li (281237)

GmNN1/FT2a interacted with GmNYFA-C in the BiFC assay. by Xinxin Li (281237)

Gene specific primers used for <i>GmNN1/FT2a</i> fine mapping. by Xinxin Li (281237)

Phenotype and molecular identification of <i>GmNN1/FT2a</i> in stable transgenic soybean plants. by Xinxin Li (281237)

The GmNN1/FT2a-GmNFYA-C-GmENOD40 module regulates soybean nodulation. by Xinxin Li (281237)

Oxidative Nickel-Catalyzed <i>ortho</i>-C–H Amination of (Iso)quinolines with Alicyclic Amines Directed by a Sacrificial <i>N</i>‑Oxide Group by Weiqi Zhu (17845973)

Table_1_Thinning can increase shrub diversity and decrease herb diversity by regulating light and soil environments.docx by Jiatong Yu (13202610)

“…The responses of species diversity to changes in understory vegetation were conducted by a structural equation model (SEM). The results showed that compared with CK, thinning significantly increased the photosynthetically active radiation (PAR) and the light quality (R/FR) (p < 0.05), while decreased the contents of soil total nitrogen (TN), total phosphorous (TP), organic matter (OM), nitrate nitrogen (NN), ammonia nitrogen (AN) and pH. …”

Image_1_Thinning can increase shrub diversity and decrease herb diversity by regulating light and soil environments.jpg by Jiatong Yu (13202610)

“…The responses of species diversity to changes in understory vegetation were conducted by a structural equation model (SEM). The results showed that compared with CK, thinning significantly increased the photosynthetically active radiation (PAR) and the light quality (R/FR) (p < 0.05), while decreased the contents of soil total nitrogen (TN), total phosphorous (TP), organic matter (OM), nitrate nitrogen (NN), ammonia nitrogen (AN) and pH. …”

A proposed working model of how the GmNN1/FT2a-GmNYFA-C-GmENOD40 module regulates nodulation in soybean. by Xinxin Li (281237)

Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

“…Exceptions were found in specific cases when casein concentration was the most dominant, since the smaller sizes of casein significantly decreased <i>J</i>_crit. The NN model predicted the best when all nine input parameters were integrated and the worst when CFV was the sole parameter used for model development, even though CFV was identified as the most dominant. …”

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

“…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. …”